AIMC Topic: Concept Formation
Clear Filters Showing 21 to 30 of 43 articles
The temporal evolution of conceptual object representations revealed through models of behavior, semantics and deep neural networks.
NeuroImage
May 17, 2018
Visual object representations are commonly thought to emerge rapidly, yet it has remained unclear to what extent early brain responses reflect purely low-level visual features of these objects and how strongly those features contribute to later categ...
Representing, Running, and Revising Mental Models: A Computational Model.
Cognitive science
Dec 27, 2017
People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an import...
A brain-based account of "basic-level" concepts.
NeuroImage
Aug 19, 2017
This study provides a brain-based account of how object concepts at an intermediate (basic) level of specificity are represented, offering an enriched view of what it means for a concept to be a basic-level concept, a research topic pioneered by Rosc...
Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.
Computational intelligence and neuroscience
Oct 3, 2016
We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obt...
Identifying thematic roles from neural representations measured by functional magnetic resonance imaging.
Cognitive neuropsychology
Jun 17, 2016
The generativity and complexity of human thought stem in large part from the ability to represent relations among concepts and form propositions. The current study reveals how a given object such as rabbit is neurally encoded differently and identifi...
Deep Learning and Developmental Learning: Emergence of Fine-to-Coarse Conceptual Categories at Layers of Deep Belief Network.
Perception
Jun 1, 2016
In this paper, I investigate conceptual categories derived from developmental processing in a deep neural network. The similarity matrices of deep representation at each layer of neural network are computed and compared with their raw representation....
Neural Representations of Physics Concepts.
Psychological science
Apr 25, 2016
We used functional MRI (fMRI) to assess neural representations of physics concepts (momentum, energy, etc.) in juniors, seniors, and graduate students majoring in physics or engineering. Our goal was to identify the underlying neural dimensions of th...
Using Self-Organizing Neural Network Map Combined with Ward's Clustering Algorithm for Visualization of Students' Cognitive Structural Models about Aliveness Concept.
Computational intelligence and neuroscience
Dec 27, 2015
We propose an approach to clustering and visualization of students' cognitive structural models. We use the self-organizing map (SOM) combined with Ward's clustering to conduct cluster analysis. In the study carried out on 100 subjects, a conceptual ...
A connectionist model of the retreat from verb argument structure overgeneralization.
Journal of child language
Nov 16, 2015
A central question in language acquisition is how children build linguistic representations that allow them to generalize verbs from one construction to another (e.g., The boy gave a present to the girl → The boy gave the girl a present), whilst appr...
Incremental Bayesian Category Learning From Natural Language.
Cognitive science
Nov 2, 2015
Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words (e.g., ...
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